## Warning: package 'ggplot2' was built under R version 3.6.2
## Warning: package 'reshape2' was built under R version 3.6.2
## Warning: package 'coda' was built under R version 3.6.2
## Warning: package 'qgraph' was built under R version 3.6.2

Dataset 12 Angry Men

##  [1] "Data: ../data/12-angry-men/12-angry-men.xml"
##  [2] "Number of mcmc samples: 2000"               
##  [3] "Number of mcmc burn-ins: 500"               
##  [4] "V: 600"                                     
##  [5] "A: 12"                                      
##  [6] "T: 100.0"                                   
##  [7] "Use prior: True"                            
##  [8] "Zero diagonal: True"                        
##  [9] "min # of msgs: 5"                           
## [10] "merge_consecutive_from_same_sender: True"   
## [11] "remove_stop_words: True"                    
## [12] "time decay gamma prior (100, 1)"            
## [13] "influence gamma prior (0.1, 10)"            
## [14] "word concentration gamma prior (10, 1)"     
## [15] "word pseudocount gamma prior (10, 1)"

MCMC samples

Influence Matrix (Linguistic)

MEAN of influence matrix (row=from, col=to)

  Juror 8 Juror 3 Juror 10 Foreman Juror 7 Juror 4 Juror 11 Juror 12 Juror 6 Juror 2 Juror 9 Juror 5
Juror 8 0 4.394 8.079 0.5022 4.086 0.8477 0.5286 1.834 6.358 0.7919 5.198 6.918
Juror 3 8.329 0 6.912 4.554 1.849 5.927 1.44 0.4277 3.576 4.403 0.6331 1.962
Juror 10 8.512 7.847 0 4.821 3.196 1.101 0.6803 0.715 4.128 0.3302 2.439 1.639
Foreman 1.179 0.2017 1.367 0 2.837 1.271 1.526 3.369 1.138 3.29 1.487 3.442
Juror 7 3.929 6.441 1.173 1.489 0 0.8548 0.6218 0.9953 1.288 3.222 1.469 1.68
Juror 4 5.818 0.1861 0.3697 0.5191 0.1284 0 3.134 0.3612 0.2465 1.615 0.4602 0.8037
Juror 11 0.5792 0.7969 0.4223 0.6067 0.3613 0.5659 0 1.118 0.5672 0.8726 0.4333 0.5649
Juror 12 5.988 0.8661 0.352 2.399 0.3007 0.5776 0.3383 0 3.087 2.775 0.1939 0.4072
Juror 6 3.295 0.6767 0.5949 1.203 2.691 0.2027 1.051 1.288 0 1.573 1.447 0.745
Juror 2 1.671 2.753 0.9447 1.641 1.857 0.485 0.6806 0.9374 1.434 0 1.858 2.192
Juror 9 1.144 3.467 0.9677 1.26 1.535 2.139 0.5386 1.985 2.196 0.2801 0 1.291
Juror 5 1.35 0.9899 0.8489 1.303 1.353 0.6504 0.8881 0.7784 0.9402 0.78 1.065 0

SD of influence matrix (row=from, col=to)

  Juror 8 Juror 3 Juror 10 Foreman Juror 7 Juror 4 Juror 11 Juror 12 Juror 6 Juror 2 Juror 9 Juror 5
Juror 8 0 2.352 1.609 1.303 3.09 1.546 1.534 2.424 2.588 1.653 3.193 2.805
Juror 3 1.296 0 2.316 3.267 2.653 2.43 2.39 1.039 3.37 3.233 1.485 2.964
Juror 10 1.249 1.715 0 3.171 3.361 1.996 1.548 1.505 3.297 0.9143 3.052 2.622
Foreman 2.079 0.8565 2.652 0 3.058 2.152 2.464 3.457 2.244 3.439 2.423 3.539
Juror 7 3.244 2.77 2.144 2.503 0 1.806 1.342 2.009 2.334 3.243 2.486 2.573
Juror 4 2.322 0.5174 0.9551 1.311 0.4927 0 3.028 0.8728 0.7576 2.577 1.119 1.771
Juror 11 1.463 1.649 1.39 1.506 1.122 1.377 0 2.132 1.508 1.924 1.337 1.563
Juror 12 2.701 1.804 0.9874 3.052 0.8651 1.337 1.031 0 3.125 3.177 0.8093 1.25
Juror 6 3.227 1.691 1.422 2.292 3.091 0.7878 2.013 2.379 0 2.601 2.252 1.796
Juror 2 2.58 3.182 1.879 2.609 2.646 1.261 1.66 2.03 2.442 0 2.694 2.963
Juror 9 2.211 3.317 2.021 2.387 2.588 2.864 1.421 2.905 3.055 1.012 0 2.285
Juror 5 2.192 2.066 1.874 2.243 2.351 1.398 1.894 1.755 2.131 1.762 2.341 0

Total linguistic influence sent/received